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Kaushik Sekaran
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2020 – today
- 2024
- [j8]Kaushik Sekaran, Awari Harshavardhan, N. Sandhya, C. Sudha, Gujjeti Nagaraju, Hanumanthu Bhukya, Rashmi Sahay, J. Kalaivani:
A Self-Operational Convolutional Neural Networks With Convergent Cross-Mapping and Its Application in Parkinson's Disease Classification. IEEE Access 12: 83140-83153 (2024) - 2023
- [j7]N. Praveena, Kapil Juneja, Mamoon Rashid, Alaa Omran Almagrabi, Kaushik Sekaran, Rajakumar Ramalingam, Muhammad Usman:
Hybrid gated recurrent unit and convolutional neural network-based deep learning mechanism for efficient shilling attack detection in social networks. Comput. Electr. Eng. 108: 108673 (2023) - [c2]Kaushik Sekaran, B. Seetharamulu, J. Kalaivani, Vijayalaxmi C. Handaragall, B. Venkatesh:
Data Integrity Protection Using Multi-level Reconstructive Error Data and Auditing for Cloud Storage. FICTA (2) 2023: 595-606 - 2022
- [j6]Kaushik Sekaran, P. Venkata Krishna:
Content-based load balancing of tasks using task clustering for cost optimisation in cloud computing environment. Int. J. Adv. Intell. Paradigms 21(1/2): 1-17 (2022) - 2020
- [j5]Kaushik Sekaran, P. Chandana, N. Murali Krishna, Seifedine Nimer Kadry:
Deep learning convolutional neural network (CNN) With Gaussian mixture model for predicting pancreatic cancer. Multim. Tools Appl. 79(15-16): 10233-10247 (2020)
2010 – 2019
- 2019
- [j4]Kaushik Sekaran, Mohammed S. Khan, Rizwan Patan, Amir H. Gandomi, Parimala Venkata Krishna, Suresh Kallam:
Improving the Response Time of M-Learning and Cloud Computing Environments Using a Dominant Firefly Approach. IEEE Access 7: 30203-30212 (2019) - [j3]N. Murali Krishna, Kaushik Sekaran, Annepu Venkata Naga Vamsi, G. S. Pradeep Ghantasala, P. Chandana, Seifedine Nimer Kadry, Tomas Blazauskas, Robertas Damasevicius:
An Efficient Mixture Model Approach in Brain-Machine Interface Systems for Extracting the Psychological Status of Mentally Impaired Persons Using EEG Signals. IEEE Access 7: 77905-77914 (2019) - 2018
- [c1]Kaushik Sekaran, G. Raja Vikram, B. V. Chowdar, U. N. P. Gangadhar Raju:
Combating Distributed Denial of Service Attacks Using Load Balanced Hadoop Clustering in Cloud Computing Environment. ICDTE 2018: 77-81 - 2017
- [j2]Kaushik Sekaran, P. Venkata Krishna:
Cross region load balancing of tasks using region-based rerouting of loads in cloud computing environment. Int. J. Adv. Intell. Paradigms 9(5/6): 589-603 (2017) - 2016
- [j1]Kaushik Sekaran, P. Venkata Krishna:
Big Cloud: a hybrid cloud model for secure data storage through cloud space. Int. J. Adv. Intell. Paradigms 8(2): 229-241 (2016)
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